Analytical Methodology, Environmental Behavior and Risk Assessment of New Organic Pollutants
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".
Deadline for manuscript submissions: 30 July 2024 | Viewed by 666
Special Issue Editors
Interests: advanced oxidation technology; control of emerging contaminants; water chemistry; radicals; photolysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A global rise in population and increased urbanization have resulted in growing pressure on freshwater resources. Known and unknown organic pollutants have exacerbated water stress and water risk throughout the world. Furthermore, their transformation products are potentially harmful to the environment. A good understanding of the cause, fate and hazards of these new organic pollutants should be considered as part of the sustainable solution to the ongoing water crisis. Improving sensitive analytical methods is vital to accurately measuring these pollutants’ levels in various water matrices. Global research focusing on the prevention and treatment of organic pollution is ongoing, particularly studies on improving water monitoring, non-target screening, the use of mathematical and machine learning modeling for source identification or pollution prediction and the assessment of ecological and health risk.
The present Special Issue intends to bring together recent research exploring the potential of advanced technologies for the analysis and assessment of new organic pollutants. Fundamental and applied research covering multidisciplinary topics, as well as review papers focusing on relevant topics, are welcome. Topics of interest includes, but are not limited to, the following:
- Analysis and the fate of emerging contaminants.
- Source identification of new organic pollutants.
- Occurrence of new organic pollutants in non-conventional water resources (e.g., rainwater and seawater).
- Mathematical and machine learning modeling.
- Applications of deep learning techniques in new organic pollutant monitoring and predictions.
- Ecological and health risk
- (Eco)toxicity assessment of new organic pollutants.
- Targeted strategies for the management and prevention of pollution.
- Engineering applications of innovative water treatments.
Dr. Zihao Wu
Dr. Zhechao Hua
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- emerging contaminants
- environmental toxicology
- modeling environmental behavior
- advanced water treatment technologies
- deep learning techniques
